Hi, Takeshi, Many PMCs are on vacation or offsite during this week. If possible, could you extend it to next Wed?
Happy Lunar New Year! Xiao Marcelo Vanzin <van...@cloudera.com.invalid> 于2019年2月8日周五 下午5:03写道： > Hi Takeshi, > > Since we only really have one +1 binding vote, do you want to extend > this vote a bit? > > I've been stuck on a few things but plan to test this (setting things > up now), but it probably won't happen before the deadline. > > On Tue, Feb 5, 2019 at 5:07 PM Takeshi Yamamuro <linguin....@gmail.com> > wrote: > > > > Please vote on releasing the following candidate as Apache Spark version > 2.3.3. > > > > The vote is open until February 8 6:00PM (PST) and passes if a majority > +1 PMC votes are cast, with > > a minimum of 3 +1 votes. > > > > [ ] +1 Release this package as Apache Spark 2.3.3 > > [ ] -1 Do not release this package because ... > > > > To learn more about Apache Spark, please see http://spark.apache.org/ > > > > The tag to be voted on is v2.3.3-rc2 (commit > 66fd9c34bf406a4b5f86605d06c9607752bd637a): > > https://github.com/apache/spark/tree/v2.3.3-rc2 > > > > The release files, including signatures, digests, etc. can be found at: > > https://dist.apache.org/repos/dist/dev/spark/v2.3.3-rc2-bin/ > > > > Signatures used for Spark RCs can be found in this file: > > https://dist.apache.org/repos/dist/dev/spark/KEYS > > > > The staging repository for this release can be found at: > > https://repository.apache.org/content/repositories/orgapachespark-1298/ > > > > The documentation corresponding to this release can be found at: > > https://dist.apache.org/repos/dist/dev/spark/v2.3.3-rc2-docs/ > > > > The list of bug fixes going into 2.3.3 can be found at the following URL: > > https://issues.apache.org/jira/projects/SPARK/versions/12343759 > > > > FAQ > > > > ========================= > > How can I help test this release? > > ========================= > > > > If you are a Spark user, you can help us test this release by taking > > an existing Spark workload and running on this release candidate, then > > reporting any regressions. > > > > If you're working in PySpark you can set up a virtual env and install > > the current RC and see if anything important breaks, in the Java/Scala > > you can add the staging repository to your projects resolvers and test > > with the RC (make sure to clean up the artifact cache before/after so > > you don't end up building with a out of date RC going forward). > > > > =========================================== > > What should happen to JIRA tickets still targeting 2.3.3? > > =========================================== > > > > The current list of open tickets targeted at 2.3.3 can be found at: > > https://issues.apache.org/jira/projects/SPARK and search for "Target > Version/s" = 2.3.3 > > > > Committers should look at those and triage. Extremely important bug > > fixes, documentation, and API tweaks that impact compatibility should > > be worked on immediately. Everything else please retarget to an > > appropriate release. > > > > ================== > > But my bug isn't fixed? > > ================== > > > > In order to make timely releases, we will typically not hold the > > release unless the bug in question is a regression from the previous > > release. That being said, if there is something which is a regression > > that has not been correctly targeted please ping me or a committer to > > help target the issue. > > > > P.S. > > I checked all the tests passed in the Amazon Linux 2 AMI; > > $ java -version > > openjdk version "1.8.0_191" > > OpenJDK Runtime Environment (build 1.8.0_191-b12) > > OpenJDK 64-Bit Server VM (build 25.191-b12, mixed mode) > > $ ./build/mvn -Pyarn -Phadoop-2.7 -Phive -Phive-thriftserver -Pmesos > -Psparkr test > > > > -- > > --- > > Takeshi Yamamuro > > > > -- > Marcelo > > --------------------------------------------------------------------- > To unsubscribe e-mail: dev-unsubscr...@spark.apache.org > >
